code: def __init__(
      self,
      action,
      name="Sentence_Aug",
      stopwords=None,
      tokenizer=None,
      reverse_tokenizer=None,
      device="cuda",
      aug_min=None,
      aug_max=None,
      aug_p=None,
      include_detail=False,
      verbose=0,
  ):
      super().__init__(
          name=name,
          method=Method.SENTENCE,
          action=action,
          aug_min=aug_min,
          aug_max=aug_max,
          aug_p=aug_p,
          device=device,
          verbose=verbose,
          include_detail=include_detail,
      )
      self.tokenizer = tokenizer or Tokenizer.tokenizer
      self.reverse_tokenizer = (
          reverse_tokenizer or Tokenizer.reverse_tokenizer
      )
      self.stopwords = stopwords
  
file_path: nlpaug/nlpaug/augmenter/sentence/sentence_augmenter.py
imports: import re
  from nlpaug.util import Method
  from nlpaug.util.text.tokenizer import Tokenizer
  from nlpaug import Augmenter
  from typing import Iterable
label_desc: Use image node_id 1 to create a new SentenceAugmenter object from inherited base classes: Augmenter with example: obj = SentenceAugmenter(action, name, stopwords, tokenizer, reverse_tokenizer, device, aug_min, aug_max, aug_p, include_detail, verbose)